model-tuning

There are 1 repository under model-tuning topic.

sjevelazco / flexsdm
Useful tools for constructing species distribution models
ecological-niche-modelling model-tuning spatial-ecology ensemble-modelling model-fit-for-purpose spatially-structured-validation species-distribution-modelling
Language:R 47
PacktWorkshops / The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
machine-learning keras artificial-neural-networks magnetic-resonance-imaging logistic-regression decision-trees scikit-learn k-means-clustering hyperparameter-tuning model-evaluation tensorflow classification regression support-vector-machine model-tuning regularization cross-validation linear-transformation scalars vectors
Language:Jupyter Notebook 44
LastAncientOne / Data-Science
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
kaggle-competiton data-science data-analysis prediction datascience data-visualization deep-learning machine-learning exploratory-data-analysis exploratory-data-visualizations python3 r model-tuning algorithms inferential-statistics kaggle dimensionality-reduction feature-engineering powerbi excel
Language:Jupyter Notebook 23
medoidai / skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
python machine-learning scikit-learn data-science hyperparameter-tuning feature-selection model-evaluation model-selection artificial-intelligence model-training model-tuning modelling predictive-modelling feature-engineering
Language:Python 23
oskar-j / awesome-auto-ml
Awesome list of AutoML frameworks - curated by @oskar-j
awesome-list automl feature-engineering model-tuning hyperparameter-tuning machine-learning
21
ansegura7 / RS_Surprise
Project with examples of different recommender systems created with the Surprise framework. Different algorithms (with a collaborative filtering approach) are explored, such as KNN or SVD.
recommender-system python surprise svd knn model-tuning
Language:HTML 8
miraytopal / Marketing-Campaign-Machine-Learning
A Predictive Model for Marketing Campaigns
classification-model dataexploration feature-engineering machine-learning matplotlib model-tuning modeling pandas seaborn tuning-parameters
Language:Jupyter Notebook 6
ansegura7 / RS_CF_LastFm
Recommender systems with collaborative filtering created with Apache Mahout framework. The system uses a Music Recommendation dataset for research purposes as input, but you can train it and predict recommendations with any other dataset.
recommender-system java mahout knn model-tuning
Language:Java 5
tohid-yousefi / Predicting_the_Energy_Efficiency_of_Buildings
In this section, predicting the energy efficiency of buildings with machine learning algorithms.
energy-consumption energy-prediction machine-learning-algorithms mla model-tuning predictive-modeling regression regression-analysis
Language:Jupyter Notebook 5
paocarvajal1912 / Venture_Funding_with_Deep_Learning
TensorFlow and Keras are used for the construction and evaluation of Deep Learning models to predict success of companies that receive funding from a venture capital fund.
deep-learning keras machine-learning neural-network python tensorflow jupyter-notebook model-tuning
Language:Jupyter Notebook 4
evolly
RevisorTeam / evolly
Evolutionary Neural Architecture Search framework that improves performance of your DL models
genetic-algorithm neural-architecture-search neuroevolution model-training model-tuning
Language:Python 4
ibodumas / fitting_tuning
Over-fitting and model tuning
predictive-modeling over-fitting model-tuning applied-predictive-modeling max-kuhn-kjell-johnson over-fitting-and-model-tuning over-fitting-model-tuning
2
threnjen / austin_housing_prices
Austin Housing Price Predictions is a start-to-finish regression project which includes image processing, NLP, Neural Networks, transfer learning, and model ensembling.
regression-models nlp nlp-machine-learning neural-networks convolutional-neural-networks data-visualization model-tuning machine-learning transfer-learning lstm-neural-networks
Language:Jupyter Notebook 2
divyansh-sharma / UdacityMLNanodegree
This Repository contains the projects which are part of Udacity Machine Learning Nanodegree
reinforcement-learning q-learning optimization model-tuning statistical-analysis scikit-learn machine-learning clustering pca-analysis deep-learning vcg keras-tensorflow
Language:HTML 1
gouravaich / finding-donors-for-charity
Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause
udacity udacity-nanodegree udacity-machine-learning-nanodegree machine-learning machine-learning-algorithms supervised-learning finding-donors naive-predictor precision-recall gaussian-naive-bayes-implementation decision-tree-algorithm ensemble adaboost boosting model-tuning grid-search feature-importance feature-selection
Language:Jupyter Notebook 1
tt-ml-dl
hooshvare / tt-ml-dl
پخش زنده پیرامون برخی اصطلاحات و مشکلات در یادگیری ماشین و یادگیری عمیق
hooshvare machine-learning deep-learning model-tuning underfitting-overfitting
1
lovpatel93 / Udacity-Finding_Donors_for_Charity_ML
Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income
supervised-learning-algorithms data-exploration data-visualization normalization log-transformation evaluation-metrics naive-predictor decison-trees ensemble-models adaboost svm-classifier svc-svm confusion-matrix model-tuning gridsearchcv feature-importance feature-selection
Language:Jupyter Notebook 1
senihberkay / US-Army-ANSUR-II
The data from this survey are used for a wide range of equipment design, sizing, and tariffing applications within the military and have many potential commercial, industrial, and academic applications.
data-preprocessing data-science data-visualization exploratory-data-analysis machine-learning model-building model-tuning
Language:Jupyter Notebook 1
shejz / AI-for-Medicine
Applying AI to medical use cases: Diagnoses of lung and brain disorders, Building risk models and survival estimators for heart disease via RF, and Using NLP to extract information from radiology reports.
image-segmentation multi-class-classification natural-language-extraction model-tuning random-forest treatment-effect-estimation
Language:Jupyter Notebook 1
snehavijayan175 / Great-Learning-Academic-Projects
18 Projects in AI & ML
computer-vision cross-validation ensemble-techniques feature-engineering hyperparameter-tuning model-tuning natural-language-processing neural-networks supervised-machine-learning unsupervised-machine-learning recommender-system
Language:Jupyter Notebook 1
threnjen / king_county_housing
King County Housing Price Predictions is a start-to-finish regression project which concludes with a stacked model.
data-cleaning exploratory-data-analysis data-visualization feature-selection feature-engineering model-selection model-tuning model-stacking data-science machine-learning
Language:Jupyter Notebook 1
Yahya-Ashraf-Mohamed / Finding-Donors-ML
Predicting potential donors using various machine learning models for Charity
data-analysis ensamble-methods machine-learning model-tuning python sklearn
Language:Jupyter Notebook 1
yakupkaplan / Diabetes-Prediction-Model
In this project we will try to predict if the person has diabetes has or not.
classification exploratory-data-analysis datavisualization datapreprocessing feature-engineering classification-algorithims model-tuning pickle diabetes-prediction-model
Language:Python 1
haihapham / Bank-Customer-Churn
From a dataset provided by a leading commercial bank in Vietnam, profile customers of the bank and predict who are likely to churn.
classification classification-algorithm eda jupyter-notebook model-deployment python bank-customer-churn banking churn-prediction model-tuning
Language:Jupyter Notebook 0
haihapham / Supermarket-Sales-Analysis
This is the historical data that covers sales of a supermarket, Walmart. In this work, I tried to explore the dataset and create a simple model to predict the sales (Weekly_Sales)
python eda lgbmregressor model-deployment model-evaluation model-tuning pandas random-forest retail-data seaborn sklearn
Language:Jupyter Notebook 0
HenyerM / Creating-a-Kaggle-Workflow
In this project we're going to explore a workflow to easily compete in the Kaggle Titanic competition, using a pipeline of functions to reduce the number of dimensions you need to focus on.
function pipeline datacleaning feature-engineering matplotlib model-tuning rfecv sklearn
Language:Jupyter Notebook 0
Honey28Git / Machine-Learning
The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse the most frequently used words in Presidents' Speeches.
accuracy-metrics auc-score bagging boosting confusion-matrix eda knn linear-discriminant-analysis logistic-regression model-tuning naive-bayes-classifier nltk-python roc-curve text-analysis
Language:Jupyter Notebook 0
Hsnmhmd / Vision
in this repo, you will find implementation of various classification models, data augmantation ,cnn designing and model reguralization
cnn data-augmentation dnn dropout-layers mlp mlp-classifier model-tuning resnet-101 batch-normalization transfer-learning image-classification
Language:Jupyter Notebook 0
kgaleziowski / recommender-systems-content-based
Recommender Systems 2021/2022: Content Based Recommenders Project
content-based-recommendation data-science evaluation-metrics feature-extraction hyperopt linear-regression model-tuning numpy pandas python random-forest svr user-feature xgboost-model amazon-recommender
Language:HTML 0
ppriyanshu1404 / India-s-Ex-Showroom-Price-Prediction
I have developed a GitHub project on ex-showroom car price prediction. The project includes data cleaning, data modeling, and data selection for accurate predictions. It also involves feature selection, model evaluation, testing, and comparison to determine the most effective model.
data-cleaning data-modeling data-visualization feature-engineering feature-extraction feature-selection matplotlib model-building model-training model-tuning seaborn
0
sgirolkar / AIML-Practice
Sameer Girolkar's AIML practice Notebooks
aiml computer-vision eda ensemble-techniques feature-selection introduction-to-nlp model-tuning neural-network-example supervised-learning unsupervised-learning
Language:Jupyter Notebook 0
SujayTalanki / BreastCancerClassificationInR
In this project, I use several different classification algorithms to predict whether a patient has breast cancer or not. This project uses K-fold cross validation, logistic regression, LDA, QDA, SVM, and model tuning techniques to achieve a 96% accuracy rate. This project was completed via R Markdown and LaTex.
k-fold-cross-validation latex lda machine-learning-algorithms qda r svm-classifier classification logistic-regression model-selection model-tuning
0
tpurcell0122github / EasyVisa
The Office of Foreign Labor Certification is facing a dramatic increase in work visa applications, but is hampered by a sluggish review system. It needs to improve the process by developing a way to quickly, accurately identify applications likely to be accepted or rejected so their processing may be prioritized.
adaboostclassifier bagging-classifier confusion-matrix decision-trees gradient-boosting-classifier hyperparameter-tuning random-forest stacking-classifier xgboost-classifier featureimportances model-tuning
0
kgaleziowski / recommender-systems-neural-network
Recommender Systems 2021/2022: Neural Network Recommenders Project
data-science numpy python amazon-recommender evaluation-metrics hyperopt model-tuning pandas netflix-recommender adam-optimizer mlp-model pytorch sgd-optimizer tensorflow asgd-optimizer gmf-matrix neumf-model
Language:HTML
nerudesu / diabetes-prediction
Comprehensive implementation of an Applied Machine Learning model for Diabetes Prediction. The project aims to leverage machine learning techniques to predict the likelihood of an individual developing diabetes based on various health and lifestyle factors.
adaboost diabetes-prediction knn model-tuning random-forest
Language:Jupyter Notebook
sueszli / get-rect
recommender systems algorithms
recommender-engine model-tuning stochastic-gradient-descent
Language:HTML

model-tuning

sjevelazco / flexsdm

PacktWorkshops / The-Deep-Learning-with-Keras-Workshop

LastAncientOne / Data-Science

medoidai / skrobot

oskar-j / awesome-auto-ml

ansegura7 / RS_Surprise

miraytopal / Marketing-Campaign-Machine-Learning

ansegura7 / RS_CF_LastFm

tohid-yousefi / Predicting_the_Energy_Efficiency_of_Buildings

paocarvajal1912 / Venture_Funding_with_Deep_Learning

RevisorTeam / evolly

ibodumas / fitting_tuning

threnjen / austin_housing_prices

divyansh-sharma / UdacityMLNanodegree

gouravaich / finding-donors-for-charity

hooshvare / tt-ml-dl

lovpatel93 / Udacity-Finding_Donors_for_Charity_ML

senihberkay / US-Army-ANSUR-II

shejz / AI-for-Medicine

snehavijayan175 / Great-Learning-Academic-Projects

threnjen / king_county_housing

Yahya-Ashraf-Mohamed / Finding-Donors-ML

yakupkaplan / Diabetes-Prediction-Model

haihapham / Bank-Customer-Churn

haihapham / Supermarket-Sales-Analysis

HenyerM / Creating-a-Kaggle-Workflow

Honey28Git / Machine-Learning

Hsnmhmd / Vision

kgaleziowski / recommender-systems-content-based

ppriyanshu1404 / India-s-Ex-Showroom-Price-Prediction

sgirolkar / AIML-Practice

SujayTalanki / BreastCancerClassificationInR

tpurcell0122github / EasyVisa

kgaleziowski / recommender-systems-neural-network

nerudesu / diabetes-prediction

sueszli / get-rect